Neuromorphic tissues: Soft biomolecular networks for brain-inspired temporal computing
Nicholas X. Armendarez, Ahmed S. Mohamed, Md Sakib Hasan, Joseph S. Najem · 2026
Read Neuromorphic tissues: Soft biomolecular networks for brain-inspired temporal computing by Nicholas X. Armendarez, Ahmed S. Mohamed, Md Sakib Hasan, Joseph S. Najem (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13394382.txt.
Description
Nicholas X. Armendarez and co-authors introduce, in 2026, soft networks built to compute much like a brain. Their material joins tiny water-filled pockets with fatty walls that hold voltage-gated channels. A pulse in one pocket charges the walls until channels open and link it to its neighbours. No outside loop is needed for signals to echo through the web.
Tests and models show the networks hold a fading memory of past signals. They could predict hard test patterns, among them a chaotic curve named the Lorenz attractor. The authors argue that wiring many pockets together lifts what such soft matter can do. That points to cheap, self-built parts for time-based computing.
Catalog record
| CREATOR | Nicholas X. Armendarez, Ahmed S. Mohamed, Md Sakib Hasan, Joseph S. Najem |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 49337 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |